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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Sovani, Yogesh
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Publications (6/6 displayed)
- 2018Mean-field modelling of the intermetallic precipitate phases during heat treatment and additive manufacture of Inconel 718citations
- 2017Mesoscale modelling of selective laser meltingcitations
- 2016Porosity formation in laser welded Ti-6Al-4V Alloy: modelling and validation
- 2016Linking a CFD and FE analysis for Welding Simulations in Ti-6Al-4V
- 2016Linking a CFD and FE analysis for Welding Simulations in Ti-6Al-4V
- 2016An integrated modelling approach for predicting process maps of residual stress and distortion in a laser weldcitations
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booksection
Porosity formation in laser welded Ti-6Al-4V Alloy: modelling and validation
Abstract
The presence of porosity inherited from a fusion welding operation degrades the mechanical properties of components during performance such as fatigue life. In this study, a physic s-based model including heat transfer, fluid flow, interfacial processes and microstructure prediction via cellular automata has been developed and used to simulate porosity formation during laser welding of Ti-6Al -4V titanium alloy. The model results are compared with: measurements of porosity from welded samples using X-ray tomography ; optical images; texture measurement via EBSD and neutron diffraction. These are used to provide a better understanding of the relationship between process parameters, component microstructure and weld integrity.